AI API pricing, billed in EGP
Every model on one API, OpenAI-compatible for chat, embeddings and images, priced in Egyptian pounds and paid from a prepaid EGP balance, so you never pay in dollars. Text models are billed per token used, image models per generated image. Rates for models served by international providers are set from their USD prices at the current exchange rate, so they can change; this page shows the latest rates.
153 live models · input from 0.11 to 564.94 EGP per million tokens
Chat models
103 modelsBilled per million tokens, input and output priced separately. Rates shown are for each model's primary provider: a request served by another provider after a failover is billed at that provider's rates, which can be higher or lower, and cached, audio and image tokens can carry their own rates. Your request logs show what each request cost.
| Model | Context | Input EGP / 1M | Output EGP / 1M |
|---|---|---|---|
| mistral-nemo-instruct-2407Mistral AI | 131K | 1.07 | 1.69 |
| gemma-4-e4b-itGoogle | 131K | 1.13 | 5.65 |
| meta-llama-3.1-8b-instruct-turboMeta | 131K | 1.13 | 2.26 |
| gpt-oss-20bOpenAI | 131K | 1.69 | 7.91 |
| granite-4.2-3bibm-granite | 131K | 1.69 | 6.78 |
| gpt-oss-120bOpenAI | 131K | 2.09 | 9.60 |
| gemma-3-12b-itGoogle | 131K | 2.82 | 8.47 |
| gemma-3-4b-itGoogle | 131K | 2.82 | 5.65 |
| mistral-small-24b-instruct-2501Mistral AI | 33K | 2.82 | 4.52 |
| nemotron-3-nano-30b-a3bNVIDIA | 262K | 2.82 | 11.30 |
| deepseek-v4-flash-0731DeepSeek | 1M | 3.39 | 10.17 |
| granite-4.2-8bibm-granite | 131K | 3.39 | 14.12 |
| ling-3.0-flashinclusionAI | 131K | 3.39 | 10.17 |
| ling-3.0-flash-fininclusionAI | 262K | 3.39 | 10.17 |
| ling-3.0-flash-vlinclusionAI | 131K | 3.39 | 10.17 |
| gemma-4-26b-a4b-itGoogle | 262K | 3.95 | 19.21 |
| phi-4Microsoft | 16K | 3.95 | 7.91 |
| mistral-small-3.2-24b-instruct-2506Mistral AI | 128K | 4.24 | 11.30 |
| gemma-3-27b-itGoogle | 131K | 4.52 | 9.04 |
| nvidia-nemotron-3.5-lightningNVIDIA | 262K | 4.52 | 11.30 |
| qwen3-32bAlibaba | 41K | 4.52 | 15.82 |
| nvidia-nemotron-3-super-120b-a12bNVIDIA | 262K | 4.80 | 22.60 |
| deepseek-v4-flashDeepSeek | 1M | 5.08 | 10.17 |
| gemma-4-31b-it-turboGoogle | 262K | 5.08 | 19.21 |
| qwen3-235b-a22b-instruct-2507Alibaba | 262K | 5.08 | 31.07 |
| qwen3-next-80b-a3b-instructAlibaba | 262K | 5.08 | 62.14 |
| llama-3.3-70b-instruct-turboMeta | 131K | 5.65 | 18.08 |
| llama-4-scout-17b-16e-instructMeta | 328K | 5.65 | 16.95 |
| qwen3.5-9bAlibaba | 262K | 5.65 | 8.47 |
| qwen3.6-35b-a3bAlibaba | 262K | 5.65 | 53.67 |
| seed-2.0-miniByteDance | 256K | 5.65 | 22.60 |
| qwen3.8-flashAlibaba | 1M | 6.38 | 21.58 |
| qwen3-14bAlibaba | 41K | 6.78 | 13.56 |
| qwen3-30b-a3bAlibaba | 41K | 6.78 | 28.25 |
| gemma-4-31b-itGoogle | 262K | 7.34 | 21.47 |
| hy3tencent | 262K | 7.91 | 32.77 |
| mimo-v2.5XiaomiMiMo | 262K | 7.91 | 15.82 |
| qwen3.5-35b-a3bAlibaba | 262K | 7.91 | 56.49 |
| gpt-oss-120b-turboOpenAI | 131K | 8.47 | 33.90 |
| qwen3-vl-30b-a3b-instructAlibaba | 262K | 8.47 | 33.90 |
| granite-4.2-30bibm-granite | 131K | 9.04 | 36.72 |
| llama-guard-4-12bMeta | 164K | 10.17 | 10.17 |
| deepseek-v4.1-flashDeepSeek | 1M | 11.30 | 33.90 |
| gpt-oss-120b-ultraOpenAI | 131K | 11.30 | 53.67 |
| llama-4-maverick-17b-128e-instruct-fp8Meta | 1M | 11.30 | 45.19 |
| nemotron-content-safety-3.5NVIDIA | 131K | 11.30 | 11.30 |
| qwen3-vl-235b-a22b-instructAlibaba | 262K | 11.30 | 49.71 |
| step-3.7-flashstepfun-ai | 262K | 11.30 | 64.97 |
| deepseek-v3-0324DeepSeek | 164K | 13.56 | 50.84 |
| Qwen3.8-27B-FP8 (preprod test, no GPU)Alibaba | 131K | 14.00 | 105.00 |
| deepseek-v3.1DeepSeek | 164K | 14.12 | 53.67 |
| gemini-3.1-flash-liteGoogle | 1M | 14.12 | 84.74 |
| seed-1.8ByteDance | 256K | 14.12 | 112.99 |
| deepseek-v3.2DeepSeek | 164K | 14.69 | 21.47 |
| qwen3.5-27bAlibaba | 262K | 14.69 | 146.88 |
| gemma-4-31b-it-ultraGoogle | 131K | 15.25 | 42.94 |
| minimax-m3MiniMaxAI | 524K | 15.82 | 62.14 |
| qwen3.5-122b-a10bAlibaba | 262K | 16.38 | 135.58 |
| gemini-2.5-flashGoogle | 1M | 16.95 | 141.23 |
| muse-glimmer-30bmeta-models | 131K | 16.95 | 67.79 |
| qwen3-coder-480b-a35b-instruct-turboAlibaba | 262K | 16.95 | 56.49 |
| deepseek-v3DeepSeek | 164K | 18.08 | 50.28 |
| qwen3.6-27bAlibaba | 262K | 18.08 | 180.78 |
| qwen2.5-72b-instructAlibaba | 33K | 20.34 | 22.60 |
| minimax-m2.7-turboMiniMaxAI | 197K | 21.47 | 96.04 |
| glm-4.7zai-org | 203K | 22.60 | 98.86 |
| meta-llama-3.1-70b-instruct-turboMeta | 131K | 22.60 | 22.60 |
| deepseek-v4-flash-vision-expDeepSeek | 1M | 24.86 | 74.57 |
| inkling-smallthinkingmachines | 524K | 25.42 | 67.79 |
| qwen3.5-397b-a17bAlibaba | 262K | 25.42 | 169.48 |
| deepseek-r1-0528DeepSeek | 164K | 28.25 | 121.46 |
| glm-4.6zai-org | 203K | 28.25 | 112.99 |
| nvidia-nemotron-3-ultra-550b-a55bNVIDIA | 262K | 28.25 | 124.29 |
| seed-2.0-codeByteDance | 256K | 28.25 | 169.48 |
| seed-2.0-proByteDance | 256K | 28.25 | 169.48 |
| kimi-k2.7-codemoonshotai | 262K | 38.42 | 192.08 |
| hermes-3-llama-3.1-70bNousResearch | 131K | 39.55 | 39.55 |
| gemini-3.7-flashGoogle | 1M | 42.37 | 211.85 |
| glm-5.2zai-org | 1M | 42.37 | 135.58 |
| kimi-k2.6moonshotai | 262K | 42.37 | 197.73 |
| inklingthinkingmachines | 524K | 53.67 | 228.80 |
| claude-haiku-4.5Anthropic | 200K | 56.49 | 282.47 |
| hermes-3-llama-3.1-405bNousResearch | 131K | 56.49 | 56.49 |
| mimo-v2.5-proXiaomiMiMo | 1M | 56.49 | 169.48 |
| glm-5.1zai-org | 203K | 59.32 | 197.73 |
| glm-5.3zai-org | 1M | 67.79 | 225.97 |
| qwen3-maxAlibaba | 256K | 67.79 | 338.96 |
| qwen3-max-thinkingAlibaba | 256K | 67.79 | 338.96 |
| gemini-2.5-proGoogle | 1M | 70.62 | 564.94 |
| deepseek-v4-proDeepSeek | 1M | 73.44 | 146.88 |
| deepseek-v4-pro-0813DeepSeek | 1M | 73.44 | 146.88 |
| gemini-3.5-flashGoogle | 1M | 84.74 | 508.44 |
| qwen3.8-maxAlibaba | 256K | 93.21 | 279.70 |
| gemini-3.1-proGoogle | 1M | 112.99 | 677.92 |
| qwen3.8-2.4t-a95bAlibaba | 262K | 112.99 | 338.96 |
| qwen3.7-maxAlibaba | 256K | 141.23 | 423.70 |
| kimi-k3moonshotai | 1M | 161.01 | 805.03 |
| claude-sonnet-4.6Anthropic | 1M | 169.48 | 847.40 |
| claude-sonnet-5Anthropic | 1M | 169.48 | 847.40 |
| claude-opus-4.7Anthropic | 1M | 282.47 | 1412.34 |
| claude-opus-4.8Anthropic | 1M | 282.47 | 1412.34 |
| claude-opus-5Anthropic | 1M | 282.47 | 1412.34 |
| claude-fable-5Anthropic | 1M | 564.94 | 2824.68 |
Embedding models
25 modelsBilled on input tokens only. Embeddings return vectors, not generated text, so there is no output charge.
| Model | Context | Input EGP / 1M |
|---|---|---|
| embeddinggemma-300mGoogle | 2K | 0.11 |
| all-minilm-l12-v2SBERT | 512 | 0.28 |
| all-minilm-l6-v2SBERT | 512 | 0.28 |
| all-mpnet-base-v2SBERT | 512 | 0.28 |
| bge-base-en-v1.5BAAI | 512 | 0.28 |
| clip-vit-b-32SBERT | 77 | 0.28 |
| clip-vit-b-32-multilingual-v1SBERT | 512 | 0.28 |
| e5-base-v2intfloat | 512 | 0.28 |
| gte-basethenlper | 512 | 0.28 |
| multi-qa-mpnet-base-dot-v1SBERT | 512 | 0.28 |
| paraphrase-minilm-l6-v2SBERT | 512 | 0.28 |
| text2vec-base-chineseshibing624 | 512 | 0.28 |
| bge-en-iclBAAI | 8K | 0.56 |
| bge-large-en-v1.5BAAI | 512 | 0.56 |
| bge-m3BAAI | 8K | 0.56 |
| bge-m3-multiBAAI | 512 | 0.56 |
| bge-m3-multi-8kBAAI | 8K | 0.56 |
| e5-large-v2intfloat | 512 | 0.56 |
| gte-largethenlper | 512 | 0.56 |
| llama-nemotron-embed-vl-1b-v2NVIDIA | 10K | 0.56 |
| multilingual-e5-largeintfloat | 512 | 0.56 |
| multilingual-e5-large-instructintfloat | 512 | 0.56 |
| qwen3-embedding-0.6bAlibaba | 33K | 0.56 |
| qwen3-embedding-8bAlibaba | 33K | 0.56 |
| qwen3-embedding-4bAlibaba | 33K | 1.13 |
Image generation models
25 modelsBilled for each image returned. A figure that names a size (for example 'per 1024p image') is the price at that size, and the charge scales with the pixels you request; other figures are per image. ≈ marks the provider's published default price, so the exact charge depends on the request. Every response reports the EGP charge in usage.cost.
| Model | Price |
|---|---|
| gemini-3-pro-imageGoogle | — |
| blur-backgroundBria | — |
| bria-3.2Bria | — |
| bria-3.2-vectorBria | — |
| erase-foregroundBria | — |
| expandBria | — |
| fiboBria | — |
| fibo-editBria | — |
| flux-1-devblack-forest-labs | — |
| flux-1-redux-devblack-forest-labs | — |
| flux-1-schnellblack-forest-labs | — |
| flux-1.1-problack-forest-labs | — |
| flux-2-devblack-forest-labs | — |
| flux-2-klein-4bblack-forest-labs | — |
| flux-2-klein-9bblack-forest-labs | — |
| flux-2-maxblack-forest-labs | — |
| flux-2-problack-forest-labs | — |
| flux.1-kontext-devblack-forest-labs | — |
| p-imagePrunaAI | — |
| qwen-image-editAlibaba | — |
| qwen-image-maxAlibaba | — |
| remove-backgroundBria | — |
| sdxl-turbostabilityai | — |
| seedream-4ByteDance | — |
| wan2.6-t2iWan-AI | — |
How billing works
Text models are billed per million tokens, with input and output priced separately; image models are billed per generated image. You pay only for what a request actually uses. The rate shown is for the model's primary route; if a fallback provider serves a request, it is billed at that provider's rate, which can differ. Some models also price cached, audio, image or video tokens separately; those rates are on the model's page in the dashboard. Each model page shows its context window and modalities. For request formats and limits, see the documentation; to filter and compare models, use the model library.
How to pay from Egypt
You add credit to a prepaid EGP balance from Billing in the dashboard, and every request is paid from that balance. Checkout runs on Kashier's hosted payment page and is charged in Egyptian pounds, so you can pay with a local card or a mobile wallet. We do not store your full card details or the mobile wallet number you pay with. Refunds are covered by the refund policy.
- Which cards can I pay with?
- Visa, Mastercard and Meeza cards, and Apple Pay. Every payment is charged in Egyptian pounds.
- Which mobile wallets can I pay with?
- Vodafone Cash, Etisalat Cash, Orange Cash and WE Pay.
- How fast does my credit arrive?
- Credit is added to your balance once Kashier confirms the payment as successful, normally within a few seconds of checkout.